Security audit
Security checks for vulnerabilities and agentic risk
This skill is a local prompt-template generator with some broad wording and Chinese-only output, but no hidden access, persistence, network use, or destructive behavior.
Install only if you want a mostly Chinese-language command-line helper for generating AI prompts. Be aware that its activation wording is broad, so users may want to invoke it only when explicitly asking for prompt generation or prompt analysis.
Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
length=length_desc
)
return prompt
def generate_chatgpt_prompt(role, task, context="", constraints=""):
"""生成ChatGPT专用提示词"""
Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
length=length_desc
)
return prompt
def generate_chatgpt_prompt(role, task, context="", constraints=""):
"""生成ChatGPT专用提示词"""
Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
length=length_desc
)
return prompt
def generate_chatgpt_prompt(role, task, context="", constraints=""):
"""生成ChatGPT专用提示词"""
Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
length=length_desc
)
return prompt
def generate_chatgpt_prompt(role, task, context="", constraints=""):
"""生成ChatGPT专用提示词"""
The skill description is extremely broad and includes catch-all phrasing such as 'any AI prompt engineering needs,' which can cause the skill to activate for a wide range of generic requests unrelated to a narrowly scoped capability. In agent environments, this increases the chance of over-triggering, unintended prompt interception, and unnecessary exposure of user inputs to this skill when a more specific tool should be used.
This codebase presents its descriptions, generated prompts, and command-line help primarily in Chinese, which constitutes a language/locale constraint. Under the policy, forcing a specific language without user opt-in is a natural-language policy violation unless the locale restriction is explicitly justified.
The 'When to Use' section lists broad categories without corresponding non-trigger boundaries, so many ordinary requests about writing, coding, design, or analysis could match even when the user is not asking for prompt generation. This weak scoping can lead to accidental invocation and routing errors, though the skill content itself does not appear to contain direct payloads or privilege-seeking behavior.
No suspicious patterns detected.